Some New Results on Statistical Information and Evidence

dc.contributor.advisor	Corley, Bill H. W.
dc.creator	Moghimi, Maryam
dc.date.accessioned	2022-07-14T15:45:17Z
dc.date.available	2022-07-14T15:45:17Z
dc.date.created	2020-05
dc.date.issued	2020-05-21
dc.date.submitted	May 2020
dc.identifier.uri	http://hdl.handle.net/10106/30687
dc.description.abstract	This dissertation represents an attempt to relate some fundamental statistical problems using the notions of information, entropy, and evidence.
dc.format.mimetype	application/pdf
dc.language.iso	en_US
dc.subject	Shannon information
dc.subject	Lost information
dc.subject	Sampling
dc.subject	Data compression
dc.subject	Entropy
dc.subject	Sufficient statistics
dc.subject	Discrete distribution
dc.subject	Evidence
dc.subject	Data analysis
dc.subject	Hypothesis testing
dc.subject	Evidence
dc.subject	Likelihood ratio
dc.subject	Confidence distribution
dc.subject	Odds ratio
dc.subject	P-value
dc.subject	Frequentist approach
dc.subject	Bayesian approach
dc.subject	Maximum likelihood estimator
dc.title	Some New Results on Statistical Information and Evidence
dc.type	Thesis
dc.date.updated	2022-07-14T15:45:17Z
thesis.degree.department	Industrial and Manufacturing Systems Engineering
thesis.degree.grantor	The University of Texas at Arlington
thesis.degree.level	Doctoral
thesis.degree.name	Doctor of Philosophy in Industrial Engineering
dc.type.material	text
dc.creator.orcid	0000-0001-5979-9871